Model intercomparison of the ABL, turbines, and wakes within the AWAKEN wind farms under neutral stability conditions
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This TCF will focus on developing use-cases for scalable and optimal utilization of hydrogen systems (combination of electrolyzers, hydrogen storage, and fuel cells) when integrated with the power grid. We will utilize and mature the electrolyzer dispatch control developed in SWR-20-06.
This dataset contains raw data from Site 1 Fraunhofer IWES Scanning Lidar (Windcube 200S).
The 10-min wind statistics from ground-based Doppler lidar at site H were calculated using the Sathe et al., 2015, paper in the references.
This dataset contains data from the ground-based HALO Streamline XR lidar at site A1 arc and VAD scans, as well as 6-beam scans and vertical stares. Overlapping range gates are used.
This dataset contains data from the ground-based HALO Streamline XR lidar at site H arc and VAD scans, as well as 6-beam scans and vertical stares. Overlapping range gates are used.
Wind profiles from ground-based Doppler lidar at site H were calculated for each 6-beam profiling scan (one point every ~20 s). The wind speed retrieval uses the Sathe et al., 2015, paper in the references.
Wind profiles from ground-based Doppler lidar at site A1 were calculated for each 6-beam profiling scan (one point every ~20 s). The wind speed retrieval uses a modified version of the Sathe et al., 2015, paper in the references.
The 10-minute wind statistics from the ground-based Doppler lidar at site A1 were calculated using a modified version of the Sathe et al., 2015 paper in the references.
These data include raw scanning Doppler lidar measurements from the deployment of the NREL HALO XR+ (s/n 235) at the A1 site. The raw measurements include uncalibrated beam azimuth angles, radial velocity, backscatter, signal to noise ratio per each line of sight, and range-gate.
These data include raw scanning Doppler lidar measurements from the deployment of the NREL HALO XR+ (s/n 235) at the A1 site. The processed measurements include uncalibrated beam azimuth angles, radial velocity, backscatter, signal to noise ratio per each line of sight, and range-gate.
The 10-min wind statistics from ground-based Doppler lidar at site A1 were calculated using a modified version of the Sathe et al., 2015 paper in the references.
Wind profiles from ground-based Doppler lidar at site A1 were calculated for each 6-beam profiling scan (one point every ~20 s). The wind speed retrieval uses a modified version of the Sathe et al., 2015, paper in the references.
The development of a microjoule-class pulsed Doppler lidar and deployment of this compact system on mobile platforms such as aircraft, ships, or trucks have opened a new opportunity to characterize the dynamics of complex mesoscale wind flows. The PickUp-based Mobile Atmospheric Sounder (PUMAS) truck-based lidar system was recently used during the American Wake Experiment (AWAKEN) to assess the general structure of boundary layer (BL) wind and turbulence around wind turbines in central Oklahoma. Wind speed profiles averaged over PUMAS transects influenced by the operating turbines (waked flow) show a 1–2 m s −1 reduction compared to mean undisturbed (free flow) wind speed profiles. Spatial variability in wind speed was observed in time–height cross-sections at different distances from turbines. The wind speeds were about 9–12 m s −1 at 6 km distance compared to 5–7 m s −1 at the transects near the turbines. The PUMAS dataset from AWAKEN demonstrated the capability of the mobile Doppler lidar system to document spatial variability in wind flows at different distances from wind turbines and obtain quantitative estimates of wind speed reduction in the waked flow. The high-frequency, simultaneous measurements of the horizontal and vertical winds provide a new approach for characterizing dynamic processes critical for wind farm wake analyses.
This dataset contains the event log table that provides 10-minute wind statistics from the scanning lidar at AWAKEN's site H. This is a good dataset to start from for people unfamiliar with the AWAKEN project.
This dataset contains the event log table with 10-minute wind statistics from the scanning lidar at AWAKEN's site A1. This is a good dataset to start from for people unfamiliar with the AWAKEN project.
This dataset contains the event log table with 10-minute wind statistics from the scanning lidar at AWAKEN's site A2. This is a good dataset to start from for people unfamiliar with the AWAKEN project.
This dataset contains the event log table that provides 10-minute wind statistics from the scanning lidars at AWAKEN's sites A1, A2, and H. This is a good dataset to start from for people unfamiliar with the AWAKEN project.